Lead Cloud Engineer

Responsibilities

• As part of project scrum team member design and implement the most optimal cloud-based solutions for the company
• Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
• Modifying and improving existing systems.
• Educating teams on the implementation of new cloud technologies and initiatives.
• Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
• Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Regularly reviewing existing systems and making recommendations for improvements.

Qualifications

• Degree in computer science or a similar field.
• Six or more years of experience in architecting, designing, developing, and implementing cloud solutions on Azure
• Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.
• Strong proficiency in Python and experience with REST API development.
• Design and implement scalable, secure, and efficient cloud-based solutions using Azure services.
• Develop and maintain RESTful APIs to support various applications.
• Four or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS and/or Azure platforms.
• Technologies: Python, Azure, MLFlow, AWS, Terraform, Azure app services, Functions, App Insights,
• Developing and maintaining continuous integration and continuous deployment pipelines – Jenkins Groovy scripts.
• Developing containerized solutions and orchestration (Docker, Kubernetes, AKS)
• Experience of server less architecture, cloud computing, cloud native application and scalability etc
• Collaborate with cross-functional teams to define, design, and ship new features.
• Optimize applications for maximum speed and scalability.
• Implement robust security measures and ensure compliance with industry standards.
• Monitor and troubleshoot application performance and resolve any issues.
• Participate in code reviews and contribute to the continuous improvement of the development process.
• Development experience with configuration management tools (Terraform, Ansible, Arm Templates).
• Relevant certification of Azure preferred.
• Troubleshooting and analytical skills.
• Knowledge of AI & ML technologies, as well as ML model management is a plus.